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Channel
广州佛山修車信息资源
@jzhdie
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
93,618subscribers
+2,789 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002084032400 |
|---|---|
| Type | Channel |
| Username | @jzhdie |
| Description | 福利聊天群: @vvjf123 唯一客服机器人: @emperorsnake_bot 认准以上联系方式,谨防受骗! |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/jzhdie |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 76% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 22:00 | 93,618 | -31 |
| 16 Sept 2026, 13:55 | 93,649 | +51 |
| 14 Sept 2026, 17:38 | 93,598 | +35 |
| 13 Sept 2026, 04:57 | 93,563 | -301 |
| 11 Sept 2026, 05:21 | 93,864 | +6 |
| 8 Sept 2026, 08:01 | 93,858 | +203 |
| 5 Sept 2026, 05:36 | 93,655 | +106 |
| 3 Sept 2026, 08:44 | 93,549 | +367 |
| 1 Sept 2026, 23:27 | 93,182 | +253 |
| 31 Aug 2026, 22:39 | 92,929 | +144 |
| 30 Aug 2026, 20:44 | 92,785 | +59 |
| 29 Aug 2026, 21:38 | 92,726 | +44 |
| 29 Aug 2026, 01:05 | 92,682 | +37 |
| 28 Aug 2026, 00:25 | 92,645 | +113 |
| 26 Aug 2026, 23:57 | 92,532 | +113 |
| 25 Aug 2026, 23:04 | 92,419 | +107 |
| 24 Aug 2026, 23:02 | 92,312 | -5 |
| 23 Aug 2026, 09:45 | 92,317 | +46 |
| 21 Aug 2026, 18:49 | 92,271 | +201 |
| 20 Aug 2026, 14:22 | 92,070 | first reading |
Engagement
269 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 96 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.41%
- avg views ÷ 93,618 subscribers
- Avg views / post
- 384
- 176 posts measured
- Reaction rate
- 0.514%
- reactions ÷ views · ER floor
- Posts in window
- 176
- of 269 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 76 of 176 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 September 2026 |
|---|---|
| Posts held | 269 (7 August 2026 – 21 September 2026) |
| Views total | 67,626 |
| Reactions total | 184 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Sept 2026, 23:20 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈1,560
- Videos
- ≈166
- Links
- ≈39
Lifetime counters from Telegram’s own channel header, read 21 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 17m 53s
- Average length
- 9s
Measured directly from 118 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
211 reactions across 90 posts, in 22 distinct kinds. The most used accounts for 50.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 107 | 50.7% | |
| 👍 | 18 | 8.53% | |
| 👏 | 15 | 7.11% | |
| 🔥 | 13 | 6.16% | |
| 🎉 | 9 | 4.27% | |
| 🙏 | 7 | 3.32% | |
| 🤔 | 7 | 3.32% | |
| 👀 | 6 | 2.84% | |
| 😁 | 5 | 2.37% | |
| 💯 | 3 | 1.42% | |
| 😈 | 3 | 1.42% | |
| 😢 | 3 | 1.42% | |
| 🥰 | 3 | 1.42% | |
| 🌭 | 2 | 0.948% | |
| 👻 | 2 | 0.948% | |
| 😍 | 2 | 0.948% | |
| ✍ | 1 | 0.474% | |
| 🍌 | 1 | 0.474% | |
| 🎃 | 1 | 0.474% | |
| 💋 | 1 | 0.474% | |
| 2 further kinds | 2 | 0.948% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 107 of the 269 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 211 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 269 most recent posts we hold, published 7 August 2026 to 21 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
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❤3
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Showing the 12 most recent of 269 posts we hold for @jzhdie. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 23 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
@bounsburst008 · 29,43560 posts广州佛山综合娱乐榜
@GZSHCJ · 10,98210 posts海珠夏夏的频道
@xiaxia143 · 4,8234 posts双胞胎👯广东
@azx8540 · 1,6372 posts柚子的小窝
@cdcd0331 · 2,4802 posts广州海珠/白云私密抓🐉筋
@baby2188 · 1,5731 post广州天河-丁丁
@dingding83571234567 · 301 post广州乐轩水汇报告
@gzlexuanbg · 7,1041 post广州乐轩水汇推荐榜
@gzlexuantj · 7,6871 post广州柳岩36E(兼职)
@gzthbx666 · 3,5611 post玲儿宝宝
@husi1232 · 8071 post曼谷出击报告
@manguchuji · 8731 post奶优🔥SPA红牌🔥禅城开
@naiyou66885 · 3041 post别紧张,扶光不是什么好人
@qwezxc123qwezxcm · 8,6481 post如烟朋友圈(金沙洲)
@ruyanbaby222 · 5471 post书婷的闺房
@shutingguifang · 5,7471 post广州DS会所
@starlight555 · 1,3651 post禅城:学妹宝儿🌹学堂
@thqr168 · 2,6881 post天河 燕子抓龙筋 95 98
@tianheyanzi8888 · 2511 post金沙洲 小颖宝 🉑 外出
@xiaoyb1 · 1271 post海珠汐宝
@xibao00001 · 1,7941 post金沙洲 杨乐乐🉑摄影🏠
@yangll66 · 1,0091 post知瑶的甜蜜男友🪯
@zhiyao088 · 1571 post
Names
Channels on the register whose handles appear in this channel's posts.
@nsgwj1 · 13,16229 posts广州佛山蛇教总动员
@vvjf123 · 93,82816 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,747,98015 posts阿瓦隆通知站
@AvalonNote · 1,68714 posts广州佛山抽奖信息通告
@woaini9295 · 50,33114 posts命运之轮
@SaberVerifier · 2,34611 posts广州海珠/白云私密抓🐉筋
@baby2188 · 1,5732 posts广州骏唐MMK恋爱群
@gzgzmmk · 3,7122 posts骏唐MMK恋爱每日出勤
@gzjtjuben · 3,8012 posts骏唐MMK恋爱报告
@gzjuntang · 4532 posts曼谷出击报告
@manguchuji · 8732 posts白云金沙洲 星悦国际97水汇
@azk957 · 8,8281 post【广州】JN水汇福利兑换群
@cj8889990 · 5,8671 post广州KTV摸摸唱
@GZmmcT · 3,1041 post云海休闲相册榜
@gzyunhai · 7,8961 post广州云海休闲『官方群』
@gzyunhaigz · 8,4201 post广州增城全区
@Gzzc9598 · 4761 post【JN】JS📝亲测水汇榜
@huahan889 · 19,9941 post白云嘉禾鼎悦 国际97水汇
@kgu69 · 9,9201 post林汐小花园
@linxi_528 · 1,7351 post黄埔水沐坊spa每日出勤🌈
@mk95270001 · 4631 post🫧泡泡🐟亲测报告
@ppyhs3 · 3,9101 postls相册&报告
@ppyhs6 · 1,4171 post增城新塘外卖🚗
@waimai7788 · 721 post
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.
“广州佛山修車信息资源” (@jzhdie), 93,618 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/jzhdie.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.